The PRAPARE (Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences) tool is an instrument that has been used to assess social determinants of health within community health centers in the US. We sought to examine the association between PRAPARE scores and getting tested for and testing positive with the SARS-CoV-2 virus. We used medical record data collected from a community health center in the US between March-August 2020. Employing logistic regression analyzes, we explored the association between demographic factors, history of screening positive for depression, and PRAPARE scores and patients' odds of getting tested and testing positive for COVID-19. While variables such as ethnicity mirrored similar findings from other sources, we found the PRAPARE score to be associated with increased odds of being tested for COVID-19; however, it was not significantly associated with testing positive. These findings can help health care workers and health educators craft messages to explain screening protocols for communicable diseases, such as COVID-19, to best reach vulnerable populations.The spread of COVID-19 worldwide has shown how quick global economy can become affected when ones' health and future are at risk. This paper examines the evidence of Granger causality among the housing price, the unemployment rate, crude oil price, and world pandemic uncertainty in France, Germany, the UK, and the USA over the period 1996Q1-2019Q2. In this case, the linear and asymmetric Granger causality approaches of Toda-Yamamoto and Hatemi-J are respectively applied to provide useful insight. Although only significant evidence of linear Granger causality is found among the unemployment rate and the house prices in all the four economies, the investigations revealed asymmetric evidence involving the world pandemic uncertainty. Specifically, there is a significant uni-directional asymmetric Granger causality from the world pandemic uncertainty to the house price in France, Germany, and the USA but not in the UK. The variation in the results among the examined countries is explained by potential differences in economic structures or business cycle and other social and economic factors. Thus, relevant policy guidance is implied from the results especially for the policymakers in the examined countries.This study aims to examine the relationship between daily temperature and mortality in the Klang Valley, Malaysia, over the period 2006-2015. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM) was used to estimate the association between the mean temperature and mortality categories (natural n=69,542, cardiovascular n= 15,581, and respiratory disease n=10,119). Particulate matter with an aerodynamic diameter below 10 μm (PM10) and surface ozone (O3) was adjusted as a potential confounding factor. The relative risk (RR) of natural mortality associated with extreme cold temperature (1st percentile of temperature, 25.2 °C) over lags 0-28 days was 1.26 (95% confidence interval (CI) 1.00, 1.60), compared with the minimum mortality temperature (28.2 °C). The relative risk associated with extremely hot temperature (99th percentile of temperature, 30.2 °C) over lags 0-3 days was 1.09 (95% CI 1.02, 1.17). Heat effects were immediate whereas cold effects were delayed and lasted longer. People with respiratory diseases, the elderly, and women were the most vulnerable groups when it came to the effects of extremely high temperatures. Extreme temperatures did not dramatically change the temperature-mortality risk estimates made before and after adjustments for air pollutant (PM10 and O3) levels.Remediation materials are the most critical factors for in situ immobilization of soil contaminated by heavy metals. In this study, in order to improve the performance of palygorskite (Pal), a new remediation material, mercapto-grafted palygorskite (MPal) was synthesized by grafting mercapto groups onto the surface of Pal. The results of field application in northern China showed that at a dosage of 0.12-0.23 kg m-2, MPal significantly reduced the available concentrations of Cd, Pb, and Cr in the soil by 52.2%, 29.9%, and 46.2%, respectively. Concurrently, Cd, Pb, and Cr concentrations in the shoots of head lettuce also decreased significantly, with the highest reduction being 44.0%, 61.5%, and 50.0%, respectively. https://www.selleckchem.com/products/mln2480.html At the same dosage, MPal had a better immobilization effect than Pal. There was no significant change in the pH of the vegetable soil, while the zeta potential decreased significantly, indicating that the MPal did not immobilize the heavy metals by increasing the pH, making it suitable for alkaline farmland soil. In addition, soil environmental quality was improved overall. MPal increased the activities of urease, β-glucosidase, cellulase, and catalase by 15.4%, 56.5%, 7.8%, and 14.9%, respectively. It increased the number of fungi and actinomycetes by 4.5% and 23.1%, respectively. MPal, as a new remediation material for soil contaminated by heavy metals, could achieve efficient remediation effects when applied in small doses. Compared with Pal, it is environmentally friendly, is low cost, and is more suitable for the treatment of heavy metal pollution in large areas of farmland.In the late stages of its industrialization, China's economy still largely relies on energy. With increasing pressures to protect the environment and reduce carbon emissions, in 2013, the Chinese government officially issued four policies in succession to control total energy consumption. In this paper, we use the single difference model to estimate the average and dynamic economic impacts of such policies. We also introduce the energy dependence degree and divide all industrial sectors into two categories to estimate heterogeneous and dynamic policy effects based on the difference-in-differences (DID) model. Our empirical study shows that the implementation of energy consumption control policies results in a decrease in economic growth rates. Meanwhile, the negative dynamic economic effects of such policies decrease levels of volatility. Furthermore, such policies have heterogeneous economic effects on levels of energy dependence across sectors and have more significantly negative economic impacts on heavily energy-dependent industries but with hysteresis.